Blocking Probabilities, Resource Allocation Problems and Optimal Solutions in Cognitive Radio Networks: A Survey

The limited electromagnetic radio spectrum can be managed efficiently to accomplish the requirements of various users by the use of cognitive radio networks (CRN). Resource allocation (RA) models established and explored by various researchers around the world are seems to be varied and there is no continuity that bring consistency and clarity in thoughts. In this paper we addressed this problem and methods established for solving RA difficulties in CRN are deliberated. The proposed optimal solution models are gathered and categorized based on certain exceptional criteria, and their advantages and drawbacks are emphasized. The Performance parameters like blocking probability is evaluated for the tandem network and are estimated using the first fit method and the random assignment methods. The blocking probabilities are calculated for both PU and SU using MATLAB.